Effects of motion artifact on the blood oxygen saturation estimate in pulse oximetry

Clarke, Geoffrey William Jon; Chan, Adrian D. C.; Adler, Andy

doi:10.1109/memea.2014.6860071

Cited by 21 publications

(11 citation statements)

References 4 publications

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“…Motion because of excessive movements for normal oxygenation levels could cause a falselylow SpO 2 reading because of the corrupted measurements of the features extracted from the PPG waveforms [8]. Attempts have been made to isolate the cardiac pulse signal from other components present in the waveforms, e.g.…”

Section: Sources Of Errormentioning

confidence: 99%

Camera-based pulse-oximetry - validated risks and opportunities from theoretical analysis

Gastel

Stuijk

Haan

2017

Biomed. Opt. Express

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Camera-based pulse-oximetry has recently shown to be feasible, even when the signal is corrupted by noise and motion artifacts. Earlier work showed that using three instead of the common two wavelengths improves robustness of the measurement, however without a thorough investigation on the optimal wavelength selection. We therefore performed a search to identify these wavelengths to further improve the robustness of the measurement. Besides motion, it is empirically known that there are several other factors that influence the measurement leading to falsely-low or falsely-high SpO readings. These factors include the presence of dyshemoglobins or other species. In this paper, we use a theoretical skin-model to study how these factors influence the measurement, and how a proper wavelength selection can reduce the impact on the measurement. Additionally, we show that adding a third wavelength does not only improve robustness, but can also be exploited to create a reliability index for the measurement. Finally, we show that the presence of dyshemoglobins in arterial blood can not only be detected but also quantified. We illustrate this by comparing the estimated COHb levels of a small group of smokers and non-smokers, which typically have different CO-levels.

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Section: Sources Of Errormentioning

confidence: 99%

Camera-based pulse-oximetry - validated risks and opportunities from theoretical analysis

Gastel

Stuijk

Haan

2017

Biomed. Opt. Express

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“…Short wavelengths do not reveal much cardiac activity and blood vessel information due to low skin penetration depths, but are less affected by motion artifacts due to the shorter light path. In the case of long wavelengths, the penetration depth of the skin is deep, which can clearly indicate activity of the heart and blood vessels such as the dicrotic notch, but these are affected by motion artifacts because of the long light path [8].…”

Section: Introductionmentioning

confidence: 99%

Motion Artifact Reduction in Wearable Photoplethysmography Based on Multi-Channel Sensors with Multiple Wavelengths

Lee

Kim

Park

et al. 2020

Sensors

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Photoplethysmography (PPG) is an easy and convenient method by which to measure heart rate (HR). However, PPG signals that optically measure volumetric changes in blood are not robust to motion artifacts. In this paper, we develop a PPG measuring system based on multi-channel sensors with multiple wavelengths and propose a motion artifact reduction algorithm using independent component analysis (ICA). We also propose a truncated singular value decomposition for 12-channel PPG signals, which contain direction and depth information measured using the developed multi-channel PPG measurement system. The performance of the proposed method is evaluated against the R-peaks of an electrocardiogram in terms of sensitivity (Se), positive predictive value (PPV), and failed detection rate (FDR). The experimental results show that Se, PPV, and FDR were 99%, 99.55%, and 0.45% for walking, 96.28%, 99.24%, and 0.77% for fast walking, and 82.49%, 99.83%, and 0.17% for running, respectively. The evaluation shows that the proposed method is effective in reducing errors in HR estimation from PPG signals with motion artifacts in intensive motion situations such as fast walking and running.

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“…Healthcare Monitoring Application (HMA) has strict timing requirements concerning the arrival of data from the sensor nodes within the defined critical time. Clarke et al [9] investigated the failure modes of the standard SpO2 measurement algorithm in the presence of motion artifact on the raw photoplethysmographs (PPG) signals.The authors use a Texas Instruments AFE4400 evaluation module to collect data. The experiment results showed a decrease in calculated SpO2 when the subject was moving versus at rest.…”

Section: Introductionmentioning

confidence: 99%

Wireless body area network for monitoring body temperature, heart beat and oxygen in blood

Rasyid

Lee

Sudarsono

2015

2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)

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Wireless body area network (WBAN) is a term used to describe a network of sensor devices connected wirelessly for communication on, in and near the body to obtain physiological data from sensor devices. This paper explain the implementation of WBAN for monitoring body temperature, heart beat rate and oxygen saturation in blood. We develop the sensor reads physiological data to the desktop application, then will read the printout of the series and create a visual in the tables and graphs, as well as storing the data into a database and displayed via a website in the form of reports that can be accessed remotely. We analyze the data received from sensor nodes to server receiver with a variety of different distances 10, 20, 30, 40, and 50 meters. The experiment results show that the physiological data can be accessed through ZigBee wirelessly in short distance which suitable for WBAN.

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Effects of motion artifact on the blood oxygen saturation estimate in pulse oximetry

Cited by 21 publications

References 4 publications

Camera-based pulse-oximetry - validated risks and opportunities from theoretical analysis

Camera-based pulse-oximetry - validated risks and opportunities from theoretical analysis

Motion Artifact Reduction in Wearable Photoplethysmography Based on Multi-Channel Sensors with Multiple Wavelengths

Wireless body area network for monitoring body temperature, heart beat and oxygen in blood

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